Kasia Tokarska

Climate scientist I CCAI Climate & Earth Science community lead
Climate scientist, climate-carbon interactions, interpretable #ML applications to #climate data, @ClimateChangeAI community lead, #LaudatoSi
Incidentally, our next CCAI webinar is on that topic as well https://www.climatechange.ai/webinars
ο»Ώ Anthony Hevia ο»Ώ I would recommend starting with this post " How artificial intelligence is fast becoming a key tool for climate science" https://www.carbonbrief.org/guest-post-how-artificial-intelligence-is-fast-becoming-a-key-tool-for-climate-science

and recent perspectives on climate modelling and ML here and here.
Read more about their contributions here and here:

"Klaus Hasselmann created a model that links together weather and climate. His methods have been used to prove that the increased temperature in the atmosphere is due to human emissions of carbon dioxide."

"Syukuro Manabe – demonstrated how increased levels of carbon dioxide in the atmosphere lead to increased temperatures at the surface of the Earth. His work laid the foundation for the development of current climate models."
As for the idea of a reading group, maybe something to mention during one of the CCAI Happy hours? there may be others interested in it as well!
I think a good start are the Headline Statements and then the Summary for Policy Makers. From there you can identify sections in the report that are of interest to read in more detail.

This free webinar may be of interest too (presentations are given by some of the lead authors of that report)
I found this book: The Citizen's guide toΒ  climate success (open-access) very interesting in terms of implementing practical solutions to address climate change, though I am not sure if it contains the level of detail that you are looking for
An interesting news piece discussing it more: https://www.eenews.net/articles/clouds-may-speed-up-global-warming/